I am a 2nd year PhD student at SFU, advised by Yasutaka Furukawa. I am broadly interested in 3D vision and machine learning. My research focus is generation and reconstruction of structured geometry data (e.g. CAD, building). Previously, I graduated from Carnegie Mellon University with BSc in ECE, where I was advised by Kris Kitani.
PhD in CS, 2021 - present
Simon Fraser University
MSc in CS, 2019 - 2021
Simon Fraser University
BSc in ECE, 2014 - 2018
Carnegie Mellon University
Autodesk Research, 2022
Mentor: Pradeep Kumar Jayaraman
Facebook AI Research, 2020
Mentor: Hanbyul (Han) Joo
Using disentangled codebooks to generate diverse and high-quality CAD models, enhances user control, and enables efficient exploration of the CAD design space.
A new explore-and-classify framework for structured architectural reconstruction from aerial image.
Monocular video dataset with ground truth annotations of 3D object pose, shape and part motion. We leverage 3D human pose for more accurate inference of the object spatial layout and dynamics.
Treat single-cycle image translation as modules that can be used recurrently where the process is bounded by mutual information constraints between the input and output images.
Use the Hamming bound to derive optimal criteria for learning hash codes with a deep network.